Related references
Note: Only part of the references are listed.Cancer statistics, 2022
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2022)
Five-Year Survival Outcomes From the PACIFIC Trial: Durvalumab After Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer
David R. Spigel et al.
JOURNAL OF CLINICAL ONCOLOGY (2022)
Postoperative radiotherapy versus no postoperative radiotherapy in patients with completely resected non-small-cell lung cancer and proven mediastinal N2 involvement (Lung ART): an open-label, randomised, phase 3 trial
Cecile Le Pechoux et al.
LANCET ONCOLOGY (2022)
Non-Small Cell Lung Cancer, Version 3.2022
David S. Ettinger et al.
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2022)
First-line PD-1/PD-L1 inhibitors plus chemotherapy versus bevacizumab plus chemotherapy for advanced non-squamous non-small cell lung cancer: A Bayesian network meta-analysis of randomized controlled trials
Jinzhao Zhai et al.
CANCER MEDICINE (2022)
Impact of Smoking on Response to the First-Line Treatment of Advanced ALK-Positive Non-Small Cell Lung Cancer: A Bayesian Network Meta-Analysis
Kehai Lin et al.
FRONTIERS IN PHARMACOLOGY (2022)
A Bayesian Network Meta-Analysis of First-Line Treatments for Non-Small Cell Lung Cancer with High Programmed Death Ligand-1 Expression
Jung Han Kim et al.
JOURNAL OF CLINICAL MEDICINE (2022)
Machine learning to refine prognostic and predictive nodal burden thresholds for post-operative radiotherapy in completely resected stage III-N2 non-small cell lung cancer
Reza Zarinshenas et al.
RADIOTHERAPY AND ONCOLOGY (2022)
Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis
Tonaye Hinton et al.
TRANSLATIONAL ONCOLOGY (2022)
Investigation of the optimal platinum-based regimen in the postoperative adjuvant chemotherapy setting for early-stage resected non-small lung cancer: a Bayesian network meta-analysis
Lan-Lan Pang et al.
BMJ OPEN (2022)
Efficacy and Safety of Bevacizumab Biosimilars Compared With Reference Biologics in Advanced Non-small Cell Lung Cancer or Metastatic Colorectal Cancer Patients: A Network Meta-Analysis
Xinyi Xu et al.
FRONTIERS IN PHARMACOLOGY (2022)
Integrative Network Modeling Highlights the Crucial Roles of Rho-GDI Signaling Pathway in the Progression of non-Small Cell Lung Cancer
Saransh Gupta et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
Colton Ladbury et al.
TRANSLATIONAL CANCER RESEARCH (2022)
Leveraging deep learning algorithms for synthetic data generation to design and analyze biological networks
Srisairam Achuthan et al.
JOURNAL OF BIOSCIENCES (2022)
Clinical Inflection Point Detection on the Basis of EHR Data to Identify Clinical Trial-Ready Patients With Cancer
Kenneth L. Kehl et al.
JCO CLINICAL CANCER INFORMATICS (2021)
Deep learning in cancer pathology: a new generation of clinical biomarkers
Amelie Echle et al.
BRITISH JOURNAL OF CANCER (2021)
Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer
Bihong T. Chen et al.
FRONTIERS IN ONCOLOGY (2021)
Artificial intelligence for clinical oncology
Benjamin H. Kann et al.
CANCER CELL (2021)
Usefulness of Circulating Tumor DNA in Identifying Somatic Mutations and Tracking Tumor Evolution in Patients With Non-small Cell Lung Cancer
Moom R. Roosan et al.
CHEST (2021)
First-line immune-based combination therapies for advanced non-small cell lung cancer: A Bayesian network meta-analysis
Ziyang Mao et al.
CANCER MEDICINE (2021)
Artificial intelligence in oncology: Path to implementation
Isaac S. Chua et al.
CANCER MEDICINE (2021)
Stereotactic ablative radiotherapy for operable stage I non-small-cell lung cancer (revised STARS): long-term results of a single-arm, prospective trial with prespecified comparison to surgery
Joe Y. Chang et al.
LANCET ONCOLOGY (2021)
Effect of Postoperative Radiotherapy for Patients With pIIIA-N2 Non-Small Cell Lung Cancer After Complete Resection and Adjuvant Chemotherapy The Phase 3 PORT-C Randomized Clinical Trial
Zhouguang Hui et al.
JAMA ONCOLOGY (2021)
Evaluation of Somatic Mutations in Solid Metastatic Pan-Cancer Patients
Moom R. Roosan et al.
CANCERS (2021)
CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence Risk
Tugba Akinci D'Antonoli et al.
ACADEMIC RADIOLOGY (2020)
Identifying circulating miRNA biomarkers for early diagnosis and monitoring of lung cancer
Yu-Hang Zhang et al.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2020)
Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics
Laurent Dercle et al.
CLINICAL CANCER RESEARCH (2020)
Understanding barriers to lung cancer screening in primary care
Julia M. Coughlin et al.
JOURNAL OF THORACIC DISEASE (2020)
Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach
Bihong T. Chen et al.
FRONTIERS IN ONCOLOGY (2020)
The emerging roles of artificial intelligence in cancer drug development and precision therapy
Guosheng Liang et al.
BIOMEDICINE & PHARMACOTHERAPY (2020)
New Analysis Framework Incorporating Mixed Mutual Information and Scalable Bayesian Networks for Multimodal High Dimensional Genomic and Epigenomic Cancer Data
Xichun Wang et al.
FRONTIERS IN GENETICS (2020)
Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases
Bihong T. Chen et al.
MAGNETIC RESONANCE IMAGING (2020)
Causal Bayesian gene networks associated with bone, brain and lung metastasis of breast cancer
Sung Bae Park et al.
CLINICAL & EXPERIMENTAL METASTASIS (2020)
A novel drug repurposing approach for non-small cell lung cancer using deep learning
Bingrui Li et al.
PLOS ONE (2020)
Bayesian networks established functional differences between breast cancer subtypes
Lucia Trilla-Fuertes et al.
PLOS ONE (2020)
Artificial intelligence (AI) and big data in cancer and precision oncology
Zodwa Dlamini et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers
S. Trebeschi et al.
ANNALS OF ONCOLOGY (2019)
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests
Marko Topalovic et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
Yiwen Xu et al.
CLINICAL CANCER RESEARCH (2019)
Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine
Xiaofang Wang et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2019)
AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases
Xingyu Wu et al.
MEDICAL IMAGE ANALYSIS (2019)
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila et al.
NATURE MEDICINE (2019)
Pneumonitis resulting from radiation and immune checkpoint blockade illustrates characteristic clinical, radiologic and circulating biomarker features
Jonathan D. Schoenfeld et al.
JOURNAL FOR IMMUNOTHERAPY OF CANCER (2019)
Pathology Image Analysis Using Segmentation Deep Learning Algorithms
Shidan Wang et al.
AMERICAN JOURNAL OF PATHOLOGY (2019)
Machine learning algorithm validation with a limited sample size
Andrius Vabalas et al.
PLOS ONE (2019)
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
Shane O'Sullivan et al.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY (2019)
ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network
Shidan Wang et al.
EBIOMEDICINE (2019)
How to read and interpret the results of a Bayesian network meta-analysis: a short tutorial
D. Hu et al.
ANIMAL HEALTH RESEARCH REVIEWS (2019)
Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function
ShihChung B. Lo et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2018)
Recent advances in the management of lung cancer
Gavin S. Jones et al.
CLINICAL MEDICINE (2018)
Role of artificial intelligence in the care of patients with nonsmall cell lung cancer
Mohamad Rabbani et al.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION (2018)
A Quantitative CT Imaging Signature Predicts Survival and Complements Established Prognosticators in Stage I Non-Small Cell Lung Cancer
Juheon Lee et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Transforming clinical practice guidelines and clinical pathways into fast-and-frugal decision trees to improve clinical care strategies
Benjamin Djulbegovic et al.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE (2018)
Low-dose CT for lung cancer screening
Alberto Ruano-Ravina et al.
LANCET ONCOLOGY (2018)
Results from the Image Biomarker Standardisation Initiative
A. Zwanenburg et al.
RADIOTHERAPY AND ONCOLOGY (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Early tumor response prediction for lung cancer patients using novel longitudinal pattern features from sequential PET/CT image scans
Giulia Buizza et al.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2018)
Hyperprogressive Disease in Patients With Advanced Non-Small Cell Lung Cancer Treated With PD-1/PD-L1 Inhibitors or With Single-Agent Chemotherapy
Roberto Ferrara et al.
JAMA ONCOLOGY (2018)
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar et al.
JOURNAL OF MEDICAL SYSTEMS (2018)
Convolutional neural networks: an overview and application in radiology
Rikiya Yamashita et al.
INSIGHTS INTO IMAGING (2018)
Developing Bayesian networks from a dependency-layered ontology: A proof-of-concept in radiation oncology
Alan M. Kalet et al.
MEDICAL PHYSICS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade
Pornpimol Charoentong et al.
CELL REPORTS (2017)
1070PADAPTATION OF THE IMMUNE RELATED RESPONSE CRITERIA: IRRECIST
O. Bohnsack et al.
ANNALS OF ONCOLOGY (2017)
Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy
Macedo Firmino et al.
BIOMEDICAL ENGINEERING ONLINE (2016)
Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?
Sarah A. Mattonen et al.
BRITISH JOURNAL OF RADIOLOGY (2016)
Comparison of CT volumetric measurement with RECIST response in patients with lung cancer
S. A. Hayes et al.
EUROPEAN JOURNAL OF RADIOLOGY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Supervised autonomous robotic soft tissue surgery
Azad Shademan et al.
SCIENCE TRANSLATIONAL MEDICINE (2016)
A Predictive Model for Personalized Therapeutic Interventions in Non-small Cell Lung Cancer
Nelofar Kureshi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)
Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial
Fabien Maldonado et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2015)
Robotic thoracic surgery: The state of the art
Arvind Kumar et al.
JOURNAL OF MINIMAL ACCESS SURGERY (2015)
comprehensive immunohistochemistry algorithm for the histological subtyping of small biopsies obtained from non-small cell lung cancers
Jaemoon Koh et al.
HISTOPATHOLOGY (2014)
Lung nodule segmentation and recognition using SVM classifier and active contour modeling: A complete intelligent system
Mohsen Keshani et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2013)
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark et al.
JOURNAL OF DIGITAL IMAGING (2013)
PREDICT: a method for inferring novel drug indications with application to personalized medicine
Assaf Gottlieb et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
A methodology for automatic intensity-modulated radiation treatment planning for lung cancer
Xiaodong Zhang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2011)
CAD (computed-aided detection) and CADx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest CT: overview of research, developments and new prospects
F. Fraioli et al.
RADIOLOGIA MEDICA (2010)
Checking consistency in mixed treatment comparison meta-analysis
S. Dias et al.
STATISTICS IN MEDICINE (2010)
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
E. A. Eisenhauer et al.
EUROPEAN JOURNAL OF CANCER (2009)
Radiotherapy plus chemotherapy with or without surgical resection for stage III non-small-cell lung cancer: a phase III randomised controlled trial
Kathy S. Albain et al.
LANCET (2009)
Prediction of postoperative morbidity after lung resection using an artificial neural network ensemble
G Santos-Garcia et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2004)
Expression profiles of non-small cell lung cancers on cDNA microarrays: Identification of genes for prediction of lymph-node metastasis and sensitivity to anti-cancer drugs
T Kikuchi et al.
ONCOGENE (2003)
Network meta-analysis for indirect treatment comparisons
T Lumley
STATISTICS IN MEDICINE (2002)
Neural networks as a prognostic tool of surgical risk in lung resections
H Esteva et al.
ANNALS OF THORACIC SURGERY (2002)